From d5d442f17af777af8a4965386b188b5fc5816f42 Mon Sep 17 00:00:00 2001
From: cnhwl <heweilin19971212@163.com>
Date: Mon, 9 Dec 2024 14:49:24 +0800
Subject: [PATCH] Update darts/models/forecasting/sf_auto_tbats.py

Co-authored-by: Dennis Bader <dennis.bader@gmx.ch>
---
 darts/models/forecasting/sf_auto_tbats.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/darts/models/forecasting/sf_auto_tbats.py b/darts/models/forecasting/sf_auto_tbats.py
index e882221f26..7e1bc16746 100644
--- a/darts/models/forecasting/sf_auto_tbats.py
+++ b/darts/models/forecasting/sf_auto_tbats.py
@@ -19,9 +19,9 @@ def __init__(self, *autoTBATS_args, **autoTBATS_kwargs):
         """Auto-TBATS based on `Statsforecasts package
         <https://github.com/Nixtla/statsforecast>`_.
 
-        Automatically selects the best TBATS model from all feasible combinations of the parameters use_boxcox,
-        use_trend, use_damped_trend, and use_arma_errors. Selection is made using the AIC.
-        Default value for use_arma_errors is True since this enables the evaluation of models with
+        Automatically selects the best TBATS model from all feasible combinations of the parameters `use_boxcox`,
+        `use_trend`, `use_damped_trend`, and `use_arma_errors`. Selection is made using the AIC.
+        Default value for `use_arma_errors` is True since this enables the evaluation of models with
         and without ARMA errors.
         <https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=f3de25596ab60ef0e886366826bf58a02b35a44f>
         <https://doi.org/10.4225/03/589299681de3d>